Job Description

Company DescriptionSyngenta is one of the worldxe2x80x99s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.To learn more visit:Purpose

• Develop and maintain robust data pipelines and infrastructure to support the creation of a supply chain digital twin.
• Enable accurate, real-time, and predictive insights by integrating and transforming data from diverse sources
• Collaborate with cross-functional teams to enhance supply chain visibility, performance, and decision-making through advanced data engineering practices.

Accountabilities

• Design and implement data pipelines to integrate real-time and historical data from multiple sources, including IoT devices, ERP systems, and external data feeds, into the digital twin environment.
• Assist with data extraction, transformation, and loading (ETL/ELT) processes using modern tools and frameworks.
• Ensure the accuracy, completeness, and timeliness of data feeding into the digital twin by implementing robust data validation, monitoring, and quality assurance processes.
• Collaborate with supply chain analysts and simulation experts to model and optimise the digital twin, enabling predictive insights and decision-making for supply chain performance improvements.
• Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and provide technical support.
• Develop and maintain technical documentation for data processes and infrastructure.
• Assist in implementing and maintaining data governance and security best practices.
• Contribute to the optimisation of databases and query performance.
• Support the integration of third-party data sources and APIs.
• Participate in team code reviews, ensuring quality and adherence to standards.
• Stay up to date with emerging technologies, tools, and best practices in data engineering.

Qualifications

• Bachelorxe2x80x99s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience).
• Proficient in using SQL for designing, developing, and optimising queries to manage and manipulate data effectively
• Skilled in Python programming for data analysis, automation, and developing efficient solutions, with experience in libraries such as Pandas, NumPy, and SQLAlchemy to support data-driven projects.
• Understanding of ETL processes and data pipeline design.
• Basic knowledge of data modelling, warehousing, and big data technologies.
• Strong problem-solving and analytical skills.
• Proficiency in Microsoft Office: Word, Excel, PowerPoint, SharePoint, Teams.
• Experience using virtual meeting & facilitation tools, such as Zoom, Mural/LucidChart/Miro, Menti, is advantageous.

Additional InformationNote: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.Follow us on: Twitter & LinkedInIndia page

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